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Development of an IoT-based System for Real Time Occupational Exposure Monitoring

Authors:
Houssem Eddine Fathallah
Vincent Lecuire
Eric Rondeau
Stéphane Le Calvé

Keywords: Air quality; sensor networks; Internet of Things; personal exposure; real time monitoring.

Abstract:
A large number of air pollutants have known or suspected harmful effects on human health and the environment. The objective of CAPFEIN (CAPteur de FormaldEhyde INtelligents) project funded by the French National Research Agency is to develop smart system enabling to estimate personal air pollution exposure of employers working in closed environment. In this paper, the development of an Internet of Things-based real time occupational air pollution exposure monitoring system is described. The system combines user indoor location provided by a wireless indoor positioning device with real time pollutants concentrations provided by a multi-pollutant sensing unit deployed in each indoor microenvironment. The system was tested for real time occupational exposure assessment to formaldehyde and CO2 air pollutants. The system provides accurate and real time occupational exposure assessment. The real time and continuous monitoring capability makes it possible to better predict worker health risks and protect them from occupational overexposure to air pollution.

Pages: 57 to 62

Copyright: Copyright (c) IARIA, 2015

Publication date: November 15, 2015

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-439-8

Location: Barcelona, Spain

Dates: from November 15, 2015 to November 20, 2015